OpenMANIPULATOR-P Bartender

Final Year Projects / Capstone Projects (By department nomination only)

Supervisor: Dr. Choy, M.Y. Marian (Department of Mechanical Engineering)

Project information

Project descriptions

In this project, the viability and feasibility of employing robotic bartenders would be examined through a thorough analysis of their practicality and potential impact. The aim of this project is to design and develop a robotic system that can automatically prepare and serve cocktails. Apart from the robotic arm and the automation system, an overall design layout is customized for the arm, including a customized shaker cup, to provide a safety user experience and help facilitate the serving and bartending process. Ultimately, our visions are to alleviate the workload of bartenders and minimize the risk of occupational injuries by introducing robotic bartenders.

Project innovation

A specific layout design is constructed with acrylic boards to act as a workspace for the robotic arm and protect the users. A customized shaker is designed to optimize the bartending process. It works in conjunction with the robotic arm, including the ability to open and close the lid itself. A Python program is developed to instruct the robotic arm performing bartending tasks automatically, repeatedly and safely. Furthermore, a graphical user interface is developed. Customers could order drinks or even customized drinks easily.

Team information

Project leader: Kwok Ching Yin, BEng(ME)

Team member(s): Chan Wai Kin, BEng(ME); Tang Man Yuen, BEng (ME)

 
Project poster
Project video
Project images
Awards

Winner of the Inno Show Award @ The 6th Inno Show

This project team was selected for the Inno Show award at the 6th Inno Show. 

This team has received HK$20,000 sponsorship to participate in international design competition(s) and consumables expenses to support further development of the project.

The best project award - COMP3329 Computer Game Design and Programming @ The 1st Engineering InnoShow

This project team was selected for the best project award – COMP3329 Computer Game Design and Programming at the 1st Engineering InnoShow.

PERfECT Wearables: for Minimally-Invasive and Continuous Blood-Glucose Monitoring was selected for the Inno Show Award
Photos in the Engineering Inno Show